Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa. From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. In IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021. pages 1-8, IEEE, 2021. [doi]
@inproceedings{RoderARPRP21,
title = {From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks},
author = {Mateus Roder and Jurandy Almeida and Gustavo Henrique de Rosa and Leandro A. Passos and André L. D. Rossi and João P. Papa},
year = {2021},
doi = {10.1109/SSCI50451.2021.9660128},
url = {https://doi.org/10.1109/SSCI50451.2021.9660128},
researchr = {https://researchr.org/publication/RoderARPRP21},
cites = {0},
citedby = {0},
pages = {1-8},
booktitle = {IEEE Symposium Series on Computational Intelligence, SSCI 2021, Orlando, FL, USA, December 5-7, 2021},
publisher = {IEEE},
isbn = {978-1-7281-9048-8},
}